So I'm trying to compare between two models, say model(1) has training accuracy of 90% and validation accuracy of 86%, while model(2) has training accuracy of 87% and validation accuracy of 85%.
Now, model(1) has a better validation score, but with high variance, and model(2) has a lower variance, but a slightly worse validation score.
Which one should I pick? assuming these are the best results we'll ever get.
I'm new in this, but my intuition is pushing me towards picking the more stable model with lower variance, but I would like to get feedback from more experienced professionals.